Abstract
Regional integrated energy site layout optimization involves multi-energy coupling, multi-data processing and multi-objective decision making, among other things. It is essentially a kind of non-convex multi-objective nonlinear programming problem, which is very difficult to solve by traditional methods. This paper proposes a decentralized optimization and comprehensive decision-making planning strategy and preprocesses the data information, so as to reduce the difficulty of solving the problem and improve operational efficiency. Three objective functions, namely the number of energy stations to be built, the coverage rate and the transmission load capacity of pipeline network, are constructed, normalized by linear weighting method, and solved by the improved p-median model to obtain the optimal value of comprehensive benefits. The artificial immune algorithm was improved from the three aspects of the initial population screening mechanism, population updating and bidirectional crossover-mutation, and its performance was preliminarily verified by test function. Finally, an improved artificial immune algorithm is used to solve and optimize the regional integrated energy site layout model. The results show that the strategies, models and methods presented in this paper are feasible and can meet the interest needs and planning objectives of different decision-makers.
Highlights
A regional integrated energy system (RIES) [1,2] includes many types of energy supply such as cold, heat and electricity
An integrated energy site layout planning strategy with decentralized optimization and comprehensive decision making is proposed, and an improved p-median model with multiple objective functions including the number of energy stations to be built, coverage rate and pipeline transmission load capacity is constructed in this paper
Aiming at the optimization problem of regional integrated energy site selection layout, this paper proposes a planning strategy of decentralized optimization and comprehensive decision making to reduce the solving complexity of multi-energy coupling and improve the operation speed of the algorithm
Summary
A regional integrated energy system (RIES) [1,2] includes many types of energy supply such as cold, heat and electricity. A site selection layout planning strategy that considers the collaborative optimization of electrical and thermal loads was proposed in [10,11], and the enumeration method was used to solve the problem, so as to reduce the operating cost of energy stations and pipe networks. An integrated energy site layout planning strategy with decentralized optimization and comprehensive decision making is proposed, and an improved p-median model with multiple objective functions including the number of energy stations to be built, coverage rate and pipeline transmission load capacity is constructed in this paper. Site Selection Layout Planning and Design of Regional Integrated Energy System
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