Cyber-physical Integrated Planning of Distribution Networks Considering Spatial-temporal Flexible Resources

The rapid development of cyber technology and the increase of flexible resources have transformed the distribution network into a cyber-physical distribution system,while the accompanying multidimensional uncertainties have brought new planning challenges.In this paper,an innovative approach is proposed to effectively leverage distributed resources while considering the impact of cyber-physical coupling in distribution network planning.A cyber-physical integrated planning model of the distribution network is proposed,considering the effects of spatial-temporal flexible resources and multi-network coupling.Specifically,a three-layer optimization model is established and analyzed by the simulate anneal-particle swarm optimization algorithm.The upper layer achieves the optimization of the location and configuration of energy storage systems and smart terminal units.The middle layer optimizes the data load migration strategy using spatial-temporal flexible resources to solve the voltage exceeding problem caused by high penetration of distributed power access,while the lower layer optimizes the cyber side communication topology,improving the convergence speed and control performance of the distribution network.Then,the optimization model is analyzed iteratively with objective functions including total planning cost,operation excess loss and distributed control performance.Finally,the effectiveness and economy of the proposed planning scheme is verified and compared to traditional methods.

An Integrated Image Task Planning in Satellite Networks:From Instruction Release and Observation Perspective

The unreasonable observation arrangements in the satellite operation control center(SOCC)may result in the observation data cannot be downloaded as scheduled.Meanwhile,if the operation instructions released by the satellite telemetry tracking center(STTC)for the on-board payloads are not injected on the specific satellites in time,the corresponding satellites cannot perform the observation operations as planned.Therefore,there is an urgent need to design an integrated instruction release,and observation task planning(I-IRO-TP)scheme by efficiently collaborating the SOCC and STTC.Motivated by this fact,we design an interaction mechanism between the SOCC and the STTC,where we first formulate the I-IRO-TP problem as a constraint satisfaction problem aiming at maximizing the number of completed tasks.Furthermore,we propose an interactive imaging task planning algorithm based on the analysis of resource distribution in the STTC during the previous planning periods to preferentially select the observation arcs that not only satisfy the requirements in the observation resource allocation phase but also facilitate the arrangement of measurement and control instruction release.We conduct extensive simulations to demonstrate the effectiveness of the proposed algorithm in terms of the number of completed tasks.

Research on the Integrated Planning of Blue-Green Space towards Urban-Rural Resilience:Conceptual Framework and Practicable Approach

Facing the impacts of climate change and the ecological environmental problems caused by urbanization, urban-rural resilience is a new value goal of territorial space development. Blue-green space is an interconnected network system of natural and artificial green space and water bodies, which can dissolve the internal and external pressures of the system by way of mitigatory acceptance and adaptive interaction, reduce the impact of climate change and artificial construction disturbances, and provide diversified composite functions. By recognizing the connotation of the concept of blue-green space, its composite ecological functionality and its relationship with the value of urban-rural resilience, this paper constructs a conceptual framework for the integrated planning of blue-green space in urban and rural areas with “resilient objectives, resource identification, integrated configuration,differentiated regulation”. The paper proposes an integrated and coordinated multi-scale practicable approach of blue-green space planning(i.e., the construction of the blue-green corridor network, the configuration of blue-green open space, the allocation of blue-green infrastructure) and the regulation-based urban-rural transect, with the aim of improving the hydroecological performance and composite functional services in order to realize urban and rural resilience.

Multiproduct and multistage integrated production planning model and algorithm based on an available production capacity network

This research attempts to devise a multistage and multiproduct short-term integrative production plan that can dynamically change based on the order priority and virtual occupancy for application in steel plants. Considering factors such as the delivery time, varietal compatibility between different products, production capacity of variety per hour, minimum or maximum batch size, and transfer time, we propose an available production capacity network with varietal compatibility and virtual occupancy for enhancing production plan implementation and quick adjustment in the case of dynamic production changes. Here available means the remaining production capacity after virtual occupancy.To quickly build an available production capacity network and increase the speed of algorithm solving, constraint selection and cutting methods with order priority were used for model solving. Finally, the genetic algorithm improved with local search was used to optimize the proposed production plan and significantly reduce the order delay rate. The validity of the proposed model and algorithm was numerically verified by simulating actual production practices. The simulation results demonstrate that the model and improved algorithm result in an effective production plan.

Profit loss indicator:a novel maintenance indicator applied for integrated planning

In production environment today, ＂silo think- ing＂ is a challenge where controlling an asset associated with several disciplines and departments can lead to a sub- optimal result. This requires a more integrated approach with an integrated planning （IPL） framework. In this framework novel maintenance key performance indicators （KPIs） are needed. The purpose of this article is to develop the novel maintenance KPI profit loss indicator （PLI）. This indicator is based on measuring both on the ＂hidden fac- tory＂ and waste in production, presenting it as a financial measure. The notion ＂hidden factory＂ is used as a meta- phor for measuring the time losses in industry through the maintenance KPI overall equipment effectiveness （OEE）. This indicator divides the time losses into availability losses, performance losses and quality losses. In addition, a financial measure for waste based on literature from Toyota production system （TPS） and waste treatment and disposal is also included in PLI. Through a case study in the saw mill industry PLI is demonstrated and evaluated. It is expected that this indicator will be demonstrated in several industry branches in the future.

An Architecture of Computer Aided Process Planning System Integrated with Scheduling Using Decision Support System

Process planning and scheduling are two major plann in g and control activities that consume significant part of the lead-time, theref ore all attempts are being made to reduce lead-time by automating them. Compute r Aided Process Planning (CAPP) is a step in this direction. Most of the existin g CAPP systems do not consider scheduling while generating a process plan. Sched uling is done separately after the process plan has been generated and therefore , it is possible that a process plan so generated is either not optimal or feasi ble from scheduling point of view. As process plans are generated without consid eration of job shop status, many problems arise within the manufacturing environ ment. Investigations have shown that 20%～30% of all process plans generated are not valid and have to be altered or suffer production delays when production sta rts. There is thus a major need for integration of scheduling with computer aide d process planning for generating more realistic process plans. In doing so, eff iciency of the manufacturing system as a whole is expected to improve. Decision support system performs many functions such as selection of machine too ls, cutting tools, sequencing of operations, determination of optimum cutting pa rameters and checking availability of machine tool before allocating any operati on to a machine tool. The process of transforming component data, process capabi lity and decision rules into computer readable format is still a major obstacle. This paper proposes architecture of a system, which integrates computer aided p rocess-planning system with scheduling using decision support system. A decisio n support system can be defined as " an interactive system that provides the use rs with easy access to decision models in order to support semi-structured or u nstructured decision making tasks".

Rural Revitalization Planning under the Territorial Spatial Planning System

With the rapid development of China’s social economy,village planning is increasingly important.Departments should fully draw up practical village plan“integrating various plans”.In the context of“rural revitalization”,how to better promote“rural revitalization”and realize the concept that“lucid waters and lush mountains are invaluable assets”is a difficult problem in front of everyone.After many years of pilot of“integrating various plans”,“five levels,three categories and four systems”have been formed,but the territorial spatial planning in the new era under the construction of ecological civilization still faces many problems and challenges.In this paper,the practical village planning of“integrating various plans”under the background of territorial spatial planning was analyzed,aiming to establish and improve a complete rural spatial system and provide an effective scheme for rural governance mechanism by analyzing and refining the key points of rural planning.

Mathematical Modeling and a Multiswarm Collaborative Optimization Algorithm for Fuzzy Integrated Process Planning and Scheduling Problem

Considering both process planning and shop scheduling in manufacturing can fully utilize their complementarities,resulting in improved rationality of process routes and high-quality and efficient production. Hence,the study of Integrated Process Planning and Scheduling (IPPS) has become a hot topic in the current production field. However,when performing this integrated optimization,the uncertainty of processing time is a realistic key point that cannot be neglected. Thus,this paper investigates a Fuzzy IPPS (FIPPS) problem to minimize the maximum fuzzy completion time. Compared with the conventional IPPS problem,FIPPS considers the fuzzy process time in the uncertain production environment,which is more practical and realistic. However,it is difficult to solve the FIPPS problem due to the complicated fuzzy calculating rules. To solve this problem,this paper formulates a novel fuzzy mathematical model based on the process network graph and proposes a MultiSwarm Collaborative Optimization Algorithm (MSCOA) with an integrated encoding method to improve the optimization. Different swarms evolve in various directions and collaborate in a certain number of iterations. Moreover,the critical path searching method is introduced according to the triangular fuzzy number,allowing for the calculation of rules to enhance the local searching ability of MSCOA. The numerical experiments extended from the well-known Kim benchmark are conducted to test the performance of the proposed MSCOA. Compared with other competitive algorithms,the results obtained by MSCOA show significant advantages,thus proving its effectiveness in solving the FIPPS problem.

Modeling Assessment of Renewable Energy to Design Business Plans of Power Options Aimed Energy Planning

The objective of this paper is the evaluation of business opportunities attractiveness in RER （renewable-energy resources） within a specific geographic area, and using some concepts of integrated energy-resource planning. The proposed methodology includes the main figures of economic merit evaluated to each resource assessed, the sensitivity analysis on cash flow, and recommendations of investments to each energy option assessed. A study case is applied within the northwest region of Sao Paulo State （Brazil） for those renewable-energy options. Five options of renewable-energy resources were chosen to be evaluated： three ERs （energy resources） from supply side （small hydro, wind farms and sugarcane bagasse） and two ERs from demand side （replacement of incandescent lighting by fluorescent and replacement of electric showers by central heating systems）. The conclusion is that, only two assessed ERs that have received investment grade were sugarcane biomass and fluorescent lamps replacing incandescent lamps. The rest have restriction due different reasons listed.

Top-Level Design of Smart City Based on“Integration of Four Plans”

A smart city provides a new idea and model for urban construction, management, and development. This article proposes the concepts and methodology for top-level design of smart cities based on the ＂ Integration of Four Plans ＂, and the planning process and systems for implementing the top-level design of smart cities. This article discusses, from the perspective of a city, how to optimize resource allocation, coordinate the development of urban economy, society, resources, environment, and people＇s livelihood, and map out the blueprints for healthy and sustainable development of a smart city.

Integration of Family Planning With Poverty Alleviation

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Integrated transmission and generation planning model in a leregulated environment

After the deregulation of the Power Sector in the U.S., planning for generation and transmission capacities is decentralized. There is, however, still need for the long term integrated planning of generation and transmission capacities at the macro level, since these two sectors must operate in a coordinated manner. This paper presents a model for integrating generation and transmission expansion planning to identify an indicative expansion plan for the total sector at the macro level. The argument for an integrated model is supported using evidence from integrated planning efforts in real life systems. The application of the proposed model is illustrated using an example that requires expansion of generation and transmission capacities over three regions in a deregulated power system. The example considers that addition of generating capacity should come from renewable sources. The test results show the potential cost saving from integrated planning.

Urban forest loss using a GIS-based approach and instruments for integrated urban planning:A case study of Jo?o Pessoa,Brazil

Urban forests play an important role in the thermal comfort and overall life of local populations in large-and medium-sized cities.This study analyzes urban forest loss and maps land use and land cover(LULC)changes between 1991 and 2018 by evaluating the use of urban planning instruments for the mitigation of urban forest loss in Jo?o Pessoa,Brazil.For this purpose,satellite-derived LULC images from 1991,2006,2010 and 2018 and data on urban forest loss areas obtained using the Google Earth Engine were used.In addition,this paper also discusses the instruments used for integrated urban planning,which are(a)the legal sector,responsibility and nature;(b)the urban expansion process;and(c)the elements of urban infrastructure.The results show a clear shift in land use in the study area.The major changes in LULC classes occurred in urban areas and herbaceous vegetation,while the greatest loss was in arboreal/shrub vegetation.Thus,an increase in the pressure to occupy zones intended for environmental preservation could be estimated.Our results showed similar accuracies with other studies and more spatial details.The characteristics of the patterns,traces,and hotspots of urban expansion and forest cover loss were explored.We highlighted the potential use of this proposed framework to be applied and validated in other parts of the world to help better understand and quantify various aspects of urban-related problems such as urban forest loss mapping using instruments for integrated urban planning and low-cost approaches.

Insights into the Social Determinants of Health in Older Adults

In this paper, we review the social determinants of health in older adults and their complex interrelationship with medical diseases. Also, we provide recommendations to address these determinants in the integrated healthcare plan. The social determinants in older adults and its influence in health outcomes have been studied for decades. There is solid evidence for the interrelationship between social factors and the health of individuals and populations;however, these studies are unable to define their complex interrelatedness. Health is quite variable and depends on multiple biological and social factors such as genetics, country of origin, migrant status, etc. On the other hand, health status can affect social factors such as job or education. Addressing social determinants of health in the integrated healthcare plan is important for improving health outcomes and decreasing existing disparities in older adult health. We recommend a person-centered approach in which individualized interventions should be adopted by organizations to improve the health status of older adults at the national and global level. Some of our practical recommendations to better address the social determinants of health in clinical practice are EHR documentation strategies, screening tools, and the development of linkages to the world outside of the clinic and health system, including social services, community activities, collaborative work, and roles for insurance companies.

A Model for Sustainable Tourism Development in Inland Latin American Areas＂ The Case of the Northern Region of Nicaragua

Central American countries＇ globalisation processes have improved macro-economic situations, as in the case of foreign debt, the same cannot be said for human development, where traditional societies have not had the capacity to respond to instruments introduced through the new knowledge society. Linked to this, tourism and services provide an opportunity to these countries because of the wealth of both their natural and cultural tourism resources. However, these developments must embrace sustainable models of tourism and to achieve this, tourism must not be presented as an end in itself, but rather as a tool for development. Here, we apply the model for integrated tourism development to the area of study （the Northern Region of Nicaragna, Las Segovias）.

A Dialectic Analysis of the Concept of Ecological Civilization

Ecological civilization has already evolved into a complex conceptual system. The mainstream idea holds that ecological civilization is an element of civilization, or a whole new social form, while other ideas view it as a philosophy of green development, a measure of green orientation, an outcome of the overall development of civilization. This paper, however, maintains that ecological civilization is another domain of civilization parallel with social civilization, and an integral whole made up of four elements of civilization. As a domain of civilization, ecological civilization is constant and systematic in content, limited in connotation, and holds a fundamental value. The five–sphere integrated plan(economic, political, cultural, social and ecological progress) will combine the construction of the four elements of civilization and push forward the construction of an ecological civilization.

IRP/DSM and Sustainable Development

This paper introduces the energy consumption status in China, elaborate the affects of the unreasonable energy consumption structure on energy environment and sustainable development of economy. Simultaneously, it points out the solution, i.e., to implement integrated resources planning (IRP)/demand side management (DSM), and gives some recommendations on the way of implementing IRP/DSM.

Integrated operational planning of hydrothermal power and natural gas systems with large scale storages

The growing installation of natural gas fired power plants has increased the integration of natural gas and electricity sectors. This has driven the need investigate the interactions among them and to optimize energy resources management from a centralized planning perspective. Thus, a combined modeling of the reservoirs involved in electric power and gas systems and their locations on both networks are essential features to be considered in the operational planning of energy resources.This paper presents a modeling and optimization approach to the operational planning of electric power and natural gas systems, taking into account different energy storage facilities, such as water reservoirs, natural gas storages and line packs of pipelines. The proposed model takes advantage of captures both energy systems synergy and their associated networks. This approach identifies the interactions between the energy storage facilities and their economic impact over their optimal scheduling. The results show the benefits of an integrated operational planning of electric power and natural gas systems, the close interdependency between the energy resources stored in both systems, and the effects of a combined scheduling.

Optimization of multi-objective integrated process planning and scheduling problem using a priority based optimization algorithm

For increasing the overall performance of modem manufacturing systems, effective integration of process planning and scheduling functions has been an important area of consideration among researchers. Owing to the complexity of handling process planning and scheduling simultaneously, most of the research work has been limited to solving the integrated process planning and scheduling （IPPS） problem for a single objective function. As there are many conflicting objectives when dealing with process planning and scheduling, real world problems cannot be fully captured considering only a single objective for optimization. Therefore considering multi-objective IPPS （MOIPPS） problem is inevitable. Unfortunately, only a handful of research papers are available on solving MOIPPS problem. In this paper, an optimization algorithm for solving MOIPPS problem is presented. The proposed algorithm uses a set of dispatch- ing rules coupled with priority assignment to optimize the IPPS problem for various objectives like makespan, total machine load, total tardiness, etc. A fixed sized external archive coupled with a crowding distance mechanism is used to store and maintain the non-dominated solutions. To compare the results with other algorithms, a C-matric based method has been used. Instances from four recent papers have been solved to demonstrate the effectiveness of the proposed algorithm. The experimental results show that the proposed method is an efficient approach for solving the MOIPPS problem.

Urban Integrated Transportation Planning Based on Transit Oriented Development and its Research Challenges

Satisfying the increasing traffic demand with the least amount of resource and environmental costs, the sustainable development object of urban traffic system determines that from long-term view- point, it is necessary to establish urban integrated traffic planning system with public transport as it is. The planning idea of Transit Oriented Development ( TOD) is an important method to realize urban inte- grated traffic planning system. Research and prac- tice reveal that harmony and integration is the key method to solve urban traffic problems. The inte- gration of traffic system and land-use is the basic problem. Urban traffic development strategy with TOD provides ideas and ways to harmonize the traf- fic and land-use systems, which brings out a series of new research subjects and challenges in the field of traffic planning.